FAHAD MOSTAFA's repositories
PCA_for_Ordinal_Data
Principal Component Analysis (PCA) needs Polychoric correlation is suitable for ordinal variables with more than two categories, while polyserial correlation is appropriate when one of the variables is continuous. These correlations estimate the underlying latent (unobserved) continuous variables that give rise to the observed ordinal categories.
EDA
Exploratory data analysis and multivariate statistical analysis for cancer data form Human
Save_MAT_file
Convert python data to matlab MAT files
Mean_in_Gap
Mean of data after certain gap, example 1,5,9,...so on.
Spectral_Clustering_MNST
Spectral Clustering for High Dimensional Images
ML_DILI_prediction
Drug induced liver injury prediction by ML Algorithms, feature selection and ROC analysis
CNN
convolutional neural networks
Milstein_method
Milstein method is a technique for the approximate numerical solution of a stochastic differential equation
Non-Negative_Matrix_Factorization
NMF in Matlab on Heart failure data sets
ARIMA-ARIMAX-Forecasting
ARIMA-ARIMAX- for Debt Ratio Forecasting
Survival_analysis
Machine Learning and Survival Analysis
Master_report
Comparative Study Among Frequentist and Bayesian Multiple Linear Regression
GPR
Gaussian Process Regression
Tree_and_SVM_Models
Tree and SVM Models, examples are in MATLAB ML course
modified_newtons
Modified form of newtons method. It is faster and gives good convergence when we want to minimize a function in multidimension.
Polynomial-curve-fitting
Polynomial curve fitting/ polyfit for covid-19 data set